Veit Goder
Impact in
- Cell Biology top 1%
- Endoplasmic Reticulum Stress and Disease
- Cellular transport and secretion
- Epidemiology top 2%
- Autophagy in Disease and Therapy
Papers in
- Cell Biology 19
- Endoplasmic Reticulum Stress and Disease 13
- Cellular transport and secretion 11
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- Autophagy in Disease and Therapy 7
- Co-authors
- Tom A. Rapoport (3 shared papers)Pedro Carvalho (2 shared papers)Martin Spiess (6 shared papers)Leticia Lemus (7 shared papers)Tina Junne (3 shared papers)Kent E. S. Matlack (1 shared paper)Sven U. Heinrich (1 shared paper)Torsten F. Schwede (2 shared papers)
- Journals
- The EMBO Journal (3 papers)Current Biology (3 papers)Cells (2 papers)Molecular Biology of the Cell (2 papers)FEBS Letters (2 papers)
- Partner nations
- SpainSwitzerlandUnited States
In The Last Decade
Veit Goder
27 papers receiving 3.8k citations
Veit Goder's Hit Papers
Peers
Comparison fields: 5 of 127
- Cell Biology 1.2k
- Epidemiology 1.4k
- Physiology 187
- Aging 63
- Molecular Biology 2.1k
Countries citing papers authored by Veit Goder
This map shows the geographic impact of Veit Goder's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Veit Goder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Veit Goder more than expected).
Fields of papers citing papers by Veit Goder
This network shows the impact of papers produced by Veit Goder. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Veit Goder. The network helps show where Veit Goder may publish in the future.
Co-authors
The 25 scholars most cited alongside Veit Goder, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition) 1 Hit paper breakdown → | 2021 | 2038 |
| 2 | 2006 | 601 | |
| 3 | 2004 | 154 | |
| 4 | 2001 | 150 | |
| 5 | 2003 | 127 | |
| 6 | 2014 | 98 | |
| 7 | 2003 | 97 | |
| 8 | 1999 | 79 | |
| 9 | 2006 | 67 | |
| 10 | 2007 | 57 | |
| 11 | 2014 | 54 | |
| 12 | 2016 | 51 | |
| 13 | 2016 | 40 | |
| 14 | 2010 | 39 | |
| 15 | 2008 | 34 | |
| 16 | 2019 | 32 | |
| 17 | 2000 | 29 | |
| 18 | 2000 | 29 | |
| 19 | 2021 | 18 | |
| 20 | 1998 | 11 |
About Veit Goder
Veit Goder is a scholar working on Cell Biology, Epidemiology, Genetics, Molecular Biology and Physiology, having authored 28 papers that have together received 3.8k indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (13 papers), Cellular transport and secretion (11 papers), RNA and protein synthesis mechanisms (8 papers), Autophagy in Disease and Therapy (7 papers), Bacterial Genetics and Biotechnology (6 papers), Lysosomal Storage Disorders Research (5 papers), CRISPR and Genetic Engineering (2 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Cell Biology (1.2k citations), Epidemiology (1.4k citations), Physiology (187 citations), Aging (63 citations) and Molecular Biology (2.1k citations). Veit Goder has collaborated with scholars based in Spain, Switzerland and United States. Frequent co-authors include Tom A. Rapoport, Pedro Carvalho, Martin Spiess, Leticia Lemus, Tina Junne, Kent E. S. Matlack, Sven U. Heinrich, Torsten F. Schwede, J. Ribas and Auxiliadora Aguilera-Romero. Their work appears in journals such as The EMBO Journal, Current Biology, Cells, Molecular Biology of the Cell and FEBS Letters.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.